{"id":"W4396570262","doi":"10.1103/physreva.109.063522","title":"Enhanced second-harmonic generation in high-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>Q</mml:mi></mml:math> all-dielectric metasurfaces with backward frequency conversion","year":2024,"lang":"en","type":"preprint","venue":"Physical review. A/Physical review, A","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Jiangxi Province; Trent University; National Natural Science Foundation of China; Nottingham Trent University","keywords":"Dielectric; Harmonic; Second-harmonic generation; Frequency conversion; Optoelectronics; High harmonic generation; Materials science; Physics; Optics; Electrical engineering; Acoustics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001184442,0.0003114422,0.0001736588,0.0001070589,0.0001416816,0.0003009126,0.0004176875,0.0002981983,0.0009222816],"category_scores_gemma":[0.0001547907,0.000118254,0.0002444061,0.0001550159,0.0003225659,0.0004538238,0.0003161206,0.0002600766,0.0003421523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414858,"about_ca_system_score_gemma":0.0001157903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003797755,"about_ca_topic_score_gemma":0.0004530456,"domain_scores_codex":[0.9999377,0.000007071894,0.000002650732,0.00001234242,0.000026368,0.00001398783],"domain_scores_gemma":[0.9999378,0.00001787607,0.00001217935,0.00001565531,0.00001178551,0.000004700124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006529188,0.00004705166,0.001114566,0.0001436286,0.00002124225,0.0002110014,0.0001044721,0.01144873,0.9689648,0.01422528,0.0001858239,0.00346825],"study_design_scores_gemma":[0.00002151396,0.0001072709,0.001563955,0.000007685583,0.00001746696,0.0001638988,0.00007078094,0.2274695,0.7651494,0.003580438,0.001828756,0.00001932362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738623,0.0001926484,0.02113494,0.0001084897,0.00001923966,0.000008161297,0.00005657753,0.00007353902,0.00454407],"genre_scores_gemma":[0.994157,0.00009421979,0.004544405,0.00001690436,0.000001946782,0.00000653343,0.00004257728,0.00001317494,0.001123294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009222816,"threshold_uncertainty_score":0.003085375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786888104831212,"score_gpt":0.3039446167303864,"score_spread":0.2760757356820742,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}